Top Data & Analytics Jobs

The Staff Data Scientist will utilize advanced data-driven modeling techniques to address complex business challenges, develop integrated marketing models, and enhance targeting precision. Responsibilities include the development and monitoring of models, data analysis, collaboration with cross-functional teams, and delivering high-impact solutions tailored to stakeholder needs.

The Staff Data Scientist will develop advanced marketing models, integrating data sources for precision targeting, and providing insights to enhance marketing strategies. Responsibilities include statistical modeling, data preprocessing, and visualizing data for diverse stakeholders, all aimed at driving sales and consumer engagement in an evolving market focused on electric vehicles.

The Staff Data Scientist will focus on advanced marketing analytics, developing audience targeting methods to improve precision in identifying customer segments. Responsibilities include leading model creation, enhancing data integration, and optimizing marketing strategies by applying complex data-driven techniques, collaborating with technical teams, and ensuring effective communication of insights across stakeholder levels.

The Staff Data Scientist will work on marketing analytics, audience targeting, data integration, customer segmentation, and developing marketing models for optimizing strategies. They will collaborate with stakeholders in GM's vehicle brands and the Performance Driven Marketing team to drive sales through advanced data-driven solutions.

The Data Science Manager will lead a team of data scientists to design, develop, and deploy AI/ML models to address complex business challenges. Responsibilities include managing projects from ideation to execution, providing mentorship, fostering collaboration, and driving innovation in data science practices. The role emphasizes scalability in data science solutions to enhance decision-making and improve marketing efforts.

The Data Science Manager will lead a team of data scientists in designing and deploying AI/ML models. Responsibilities include managing projects, providing mentorship, collaborating with stakeholders, and driving innovation through advanced analytics.

The Senior Data Engineer will design, develop, and maintain data pipelines and infrastructure, collaborate with data scientists, and ensure high-quality data for analysis. Responsibilities include implementing ETL processes, optimizing databases, and managing data governance while providing mentorship in data engineering best practices.